Hyperspectral Image Processing for Detection and Grading of Skin Erythema

被引:5
作者
Madooei, Ali [1 ]
Abdlaty, Ramy Mohammed [2 ]
Doerwald-Munoz, Lilian
Hayward, Joseph [3 ]
Drew, Mark S. [1 ]
Fang, Qiyin [2 ]
Zerubia, Josiane [4 ]
机构
[1] Simon Fraser Univ, Sch Comp Sci, Vancouver, BC, Canada
[2] McMaster Univ, Dept Engn Phys, Hamilton, ON, Canada
[3] Hamilton Hlth Sci, Juravinski Canc Ctr, Hamilton, ON, Canada
[4] Univ Cote Azur, INRIA, Nice, France
来源
MEDICAL IMAGING 2017: IMAGE PROCESSING | 2017年 / 10133卷
关键词
Hyperspectral Imaging; Skin; Erythema; Detection and Grading; Linear Discriminant Analysis; OBJECTIVE MEASUREMENTS; IN-VIVO; RADIOTHERAPY; QUANTIFICATION; PIGMENTATION; SPECTROSCOPY;
D O I
10.1117/12.2254132
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Visual assessment is the most common clinical investigation of skin reactions in radiotherapy. Due to the subjective nature of this method, additional noninvasive techniques are needed for more accurate evaluation. Our goal is to evaluate the effectiveness of hyperspectral image analysis for that purpose. In this pilot study, we focused on detection and grading of skin Erythema. This paper reports our proposed processing pipeline and experimental findings. Experiments have been performed to demonstrate the efficacy of the proposed approach for (1) reproducing clinical assessments, and (2) outperforming RGB imaging data.
引用
收藏
页数:7
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